How to use Splunk Machine Learning toolkit for anomaly detection. There is a use case where we want machine learning to identify the thresholds dynamically based on anomaly detection.
”Splunk Machine Learning toolkit” sample data uses data model（CIM) fields.
For now, how about imitating a sample with an actual data model?
I didn't get it, could you please elaborate.
Have you used "Density Function" algorithm for anomaly detection?
The “DensityFunction” algorithm is not used.
Is it an algorithm question? Or is it a question of how to use MLTK?
Is it a case that does not exist in the MLTK sample use case?